data analysis Archives

8 Top Data Analysis Free and Open Source Tools for Big Data

Big Data analysis can be performed with data mining software. Here’s the best free tools to perform data analysis on big data.

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams.

Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.

Apache Drill is an open source distributed system for interactive analysis of large-scale datasets. Drill is similar to Google’s Dremel.

HPCC is a data-intensive computing system platform designed for the enterprise to solve Big Data challenges.

Storm is an open source, big-data processing system that is different from other systems. Storm is designed for distributed real-time processing.

The Apache Hadoop software library is an open source framework that allows for the distributed processing of large data sets across clusters.

Here’s our verdict of the finest free and open source Python-based data analysis tools captured in a legendary LinuxLinks-style ratings chart.

Skyfield computes positions for the stars, planets, and satellites in orbit around the Earth.

THELI is a tool for the automated reduction of astronomical images. It’s command-line software with an independently created GUI available.

PyRAF is a command language for running IRAF tasks that is based on the Python scripting language.

IRAF is the Image Reduction and Analysis Facility, a general purpose software system for the reduction and analysis of astronomical data.

MYRaf is a practical, astronomical image reduction and photometry software and interface for the Image Reduction and Analysis Facility (IRAF).

The Space Telescope Science Data Analysis System (STSDAS) is a software package for reducing and analyzing astronomical data.

Sherpa is a modeling and fitting application for Python. It contains a powerful language for combining simple models into complex expressions.